Andrew Dai is the Co-Founder and CEO of Elorian AI, a startup building next-generation multimodal foundation models designed to reason across text, images, video, and audio. ~~~~~~~~~~~~~This episode is brought to you by Nebius — the ultimate cloud for AI innovators.Nebius provides AI infrastructure you can count on, combining reliability and speed with flexibility and engineering support unmatched by hyperscalers.AI leaders like Meta, Shopify, and Higgsfield already partner with Nebius to run their AI workloads. Plus, venture-backed startups can save up to $150,000 on compute costs when they apply for access. Visit nebius.com or nebius.com/startups to learn more~~~~~~~~~~~~~The company emerged from stealth with one of the largest AI pre-seed rounds on record, raising $55 million from investors including Menlo Ventures, Altimeter, Jeff Dean, and Striker Venture Partners to develop AI systems capable of advancing visual reasoning for robotics, automotive, architecture, and other real-world applications. Before founding Elorian AI, Andrew spent nearly 14 years at Google Brain and Google DeepMind, where he helped build many of Google's most important AI systems. He served as co-lead for the Gemini data organization and synthetic data initiatives, co-led modeling for Google's Search Generative Experience, led PaLM 2 pretraining, co-led the GLaM Mixture-of-Experts language model, and previously led Google Health's electronic health record research. His earlier work on language model pretraining, Smart Reply, and Smart Compose helped lay the foundation for today's large language models. Andrew holds a Ph.D. in Machine Learning from the University of Edinburgh.Topics

• Why multimodal intelligence is the next major frontier beyond large language models
• Lessons from building gemini, palm 2, and google's ai stack before launching elorian ai
• How synthetic data, visual reasoning, and foundation models will shape the next generation of ai applications

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